Adjunct Assistant Professor - Lane Department of Computer Science and Electrical Engineering
Dr. Omid Dehzangi received B.Sc. and M.Sc. Degrees in Computer Science and Engineering from the School of Electrical and Computer Engineering, Shiraz University in 2002 and 2006, respectively. Then, he received his Ph.D. degree from the School of Computer Engineering at Nanyang Technological University in 2012. In 2013 and 2014, he completed postdoctoral fellowships at the Center for Brain Health and the Department of Electrical Engineering at the University of Texas at Dallas, respectively. He became a tenure-track Assistant Professor at the University of Michigan from 2014 to 2018. He is currently the data analytic lead at the Rockefeller Neuroscience Institute, and Assistant professor in the department of Neuroscience and Adjunct professor at the department of computer science and electrical engineering. His research interests lie broadly in the area of wearable embedded systems, their signal processing and data analytic algorithm design using machine learning and deep learning with the emphasis on pervasive medical applications. His research has been funded by the NSF, NIH, SRC, Texas Instruments, Toyota, and Ford.
PhD, Computer Engineering, Nanyang Technological University
MSc, Computer Engineering, Shiraz University